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DTSTAMP:20210916T132527Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210707T140000
DTEND;TZID=Europe/Stockholm:20210707T160000
UID:submissions.pasc-conference.org_PASC21_sess146@linklings.com
SUMMARY:Disaster Response: HPC for Real-Time Urgent Decision Making
DESCRIPTION:Minisymposium\n\nResponding to disasters such as wildfires, hu
 rricanes, flooding, earthquakes, tsunamis, winter weather conditions, spre
 ad of diseases, and accidents; technological advances are creating excitin
 g new opportunities that have the potential to move HPC well beyond tradit
 ional computational workloads. While HPC has a long history of simulating 
 disasters after the fact, an exciting possibility is to use these resource
 s to support emergency, urgent, decision making in real-time. As our abili
 ty to capture data continues to grow significantly, it is only now possibl
 e to combine high velocity data and live analytics with HPC models to aid 
 in urgently responding to real-world problems, ultimately saving lives and
  reducing economic loss. To make this vision a reality, a variety of techn
 ical and policy challenges must be identified and overcome. Whether it be 
 developing more interactive simulation codes which include real-time data 
 feeds, improving in-situ data analysis techniques, developing new large-sc
 ale data visualisation techniques, or guaranteeing bounded and predictable
  machine queue times, the challenges here are significant. In this minisym
 posium, we will discuss this emerging HPC use-case by bringing together ex
 perts in the field, researchers, practitioners, and interested parties fro
 m across our community to identify and tackle issues involved in using HPC
  for urgent decision making.\n\nOrchestration for Time Critical Emergency 
 Response Simulations\n\nGoubier\n\nWhen responding to a disaster, simulati
 ons can be used for early warning and emergency response. However, very ea
 rly on, deadlines are extremely tights, the source of the disaster is unce
 rtain, and it is critical to have an early assessment. Using the case of a
  tsunamigenic earthquake, the LEXIS pro...\n\n---------------------\nModel
 ling the Spatio Temporal Risk of Mosquito-Borne Diseases at Continental Sc
 ales\n\nPoletti\n\nThe dynamics of mosquito abundance over time represents
  a crucial ingredient in assessing the risk of vector-borne disease outbre
 aks globally. Even southern Europe can be heavily affected by mosquito-bor
 ne disease, and investigating their temporal patterns is an important tool
  in reducing the risk p...\n\n---------------------\nTopological Analysis 
 of Simulation Data for Urgent Decision Making\n\nGuillou, Tierny\n\nNumeri
 cal simulations supporting urgent decision making need to provide detailed
  predictions of the possible outcomes of the simulated phenomenon, accompa
 nied with advanced data analytics enabling them to assess the characterist
 ics of each class of outcome, as well as an estimation of their statisti..
 .\n\n---------------------\nPanel Discussion for Disaster Response: HPC fo
 r Real-Time Urgent Decision Making\n\nBrown\n\nJoin us for a panel discuss
 ion with our mini-symposium speakers, exploring and debating the points ra
 ised during the session as well as highlighting how the differences in tec
 hnology and viewpoint that have been presented can be combined to tackle t
 he overarching challenge of usign HPC for disaster ...\n\n\nDomain: CS and
  Math, Emerging Applications
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